Shaun P. Vahey
- Economics and Econometrics top 2%
- General Economics, Econometrics and Finance top 1%
- Finance top 5%
- Management Science and Operations Research top 5%
- Renewable Energy, Sustainability and the Environment
- Co-authors
- Danny QuahJames MitchellAnne Sofie JoreAnthony GarrattFrancesco RavazzoloGary KoopMichael S. SmithYunyi Zhang
- Topics
- Monetary Policy and Economic Impact (30 papers)Market Dynamics and Volatility (18 papers)Forecasting Techniques and Applications (7 papers)
- Partner nations
- United KingdomAustraliaNew Zealand
In The Last Decade
Shaun P. Vahey
32 papers receiving 564 citations
Peers
Comparison fields: 5 of 52
- Economics and Econometrics 491
- General Economics, Econometrics and Finance 489
- Finance 192
- Management Science and Operations Research 113
- Renewable Energy, Sustainability and the Environment 44
Countries citing papers authored by Shaun P. Vahey
This map shows the geographic impact of Shaun P. Vahey's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shaun P. Vahey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaun P. Vahey more than expected).
Fields of papers citing papers by Shaun P. Vahey
This network shows the impact of papers produced by Shaun P. Vahey. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shaun P. Vahey. The network helps show where Shaun P. Vahey may publish in the future.
Co-authorship network of co-authors of Shaun P. Vahey
This figure shows the co-authorship network connecting the top 25 collaborators of Shaun P. Vahey. A scholar is included among the top collaborators of Shaun P. Vahey based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shaun P. Vahey. Shaun P. Vahey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 28 | |
| 7 | 0 | |
| 8 | Moving Towards Probability Forecasting | 0 |
| 9 | 27 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 21 | |
| 13 | 14 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | A Real Time Tax Smoothing Based Fiscal Policy Rule | 2 |
| 17 | 18 | |
| 18 | The Great Canadian Training Robbery | 1 |
| 19 | 47 | |
| 20 | 200 |
About Shaun P. Vahey
Shaun P. Vahey is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Finance, having authored 36 papers that have together received 646 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (30 papers), Market Dynamics and Volatility (18 papers) and Forecasting Techniques and Applications (7 papers). The work is most often cited by research in General Economics, Econometrics and Finance (489 citations), Finance (192 citations) and Economics and Econometrics (491 citations). Shaun P. Vahey has collaborated with scholars based in United Kingdom, Australia and New Zealand. Frequent co-authors include Danny Quah, James Mitchell, Anne Sofie Jore, Anthony Garratt, Francesco Ravazzolo, Gary Koop, Michael S. Smith, Yunyi Zhang, Andreas Pick and James M. Nason. Their work appears in journals such as American Economic Review, The Economic Journal and Journal of Business and Economic Statistics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.